Webometrics is the quantitative analysis of websites and web-based content. It involves tracking websites, evaluating search engines, and analyzing internal and external links. The field evolved from terms like netometrics, webometry, internetmetrics, and cybermetrics. Webometrics is defined as the study of quantitative aspects of the construction and use of information resources on the web using bibliometric and informetric approaches. The main areas of study are web page content analysis, web link structure analysis, web usage analysis, and web technology analysis. Webometrics is related to other metric sciences like informetrics, bibliometrics, cybermetrics, and scientometrics. Methodologies include selecting a website, using search engines, applying query
Relationship of information science with library scienceSadaf Batool
Relationship of information science with library science
Presentation by Sadaf Batool
MPhil 1st semester
Table of contents
1. Definition of information science
2. Definition of library science
3. Primary history of library
4. Primary history of information
5. Progress of library science as (Library and information science)
6. IS &LS concerned task
7. Relationship of Information science with library science
8. According to S.R Nathan’s five laws
9. Difference of Information science &Library science
10. Conclusion
11. References
Definition of information science
Information science is that discipline that investigates the properties and behavior of information, the forces governing the flow of information, and the means of processing information for optimum accessibility and usability.
It primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information.
This includes the investigation of information representations in both natural and artificial systems, the use of codes for efficient message transmission, and the study of information processing devices and techniques such as computers and their programming systems.
It is an interdisciplinary science derived from and related to such fields as mathematics, logic, linguistics, psychology, computer technology, operations research, the graphic arts, communications, library science, management, and other similar fields. It has both a pure science component, which inquiries into the subject without regard to its application, and an applied science component, which develops services and products." (Borko, 1968, p.3The study of – the use of information, – its sources and development; – usually taken to refer to the role of scientific, industrial and specialized libraries and information units – in the handling and – dissemination of information. (Prytherch, 2005)
The systematic study and analysis of the – sources, – development, – collection, – organization, – dissemination, – evaluation, – use, and – management of information in all its forms, including the channels (formal and informal) and technology used in its communication. – –(Reitz, 2004) Definition of library science
The study of principles and practices of library care, and organization and administration of a library, and of its technical, informational, and reference services.
Library science as “a generic term for the study of libraries and information units, the role they play in society, their various component routines and processes, and their history and future development. (Harrods ‘Librarian’s Glossary)
Collection of reading material, its processing, organization and dissemination started with the advent of library. The knowledge and its implementation in respect of library may therefore be called library science.
The professional kn
Relationship of information science with library scienceSadaf Batool
Relationship of information science with library science
Presentation by Sadaf Batool
MPhil 1st semester
Table of contents
1. Definition of information science
2. Definition of library science
3. Primary history of library
4. Primary history of information
5. Progress of library science as (Library and information science)
6. IS &LS concerned task
7. Relationship of Information science with library science
8. According to S.R Nathan’s five laws
9. Difference of Information science &Library science
10. Conclusion
11. References
Definition of information science
Information science is that discipline that investigates the properties and behavior of information, the forces governing the flow of information, and the means of processing information for optimum accessibility and usability.
It primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information.
This includes the investigation of information representations in both natural and artificial systems, the use of codes for efficient message transmission, and the study of information processing devices and techniques such as computers and their programming systems.
It is an interdisciplinary science derived from and related to such fields as mathematics, logic, linguistics, psychology, computer technology, operations research, the graphic arts, communications, library science, management, and other similar fields. It has both a pure science component, which inquiries into the subject without regard to its application, and an applied science component, which develops services and products." (Borko, 1968, p.3The study of – the use of information, – its sources and development; – usually taken to refer to the role of scientific, industrial and specialized libraries and information units – in the handling and – dissemination of information. (Prytherch, 2005)
The systematic study and analysis of the – sources, – development, – collection, – organization, – dissemination, – evaluation, – use, and – management of information in all its forms, including the channels (formal and informal) and technology used in its communication. – –(Reitz, 2004) Definition of library science
The study of principles and practices of library care, and organization and administration of a library, and of its technical, informational, and reference services.
Library science as “a generic term for the study of libraries and information units, the role they play in society, their various component routines and processes, and their history and future development. (Harrods ‘Librarian’s Glossary)
Collection of reading material, its processing, organization and dissemination started with the advent of library. The knowledge and its implementation in respect of library may therefore be called library science.
The professional kn
Library automation software, Types of software available, Pros and Cons of Commercial and Open source software, List of library automation software.KOHA, WINISIS, NEWGENLIB, SOUL, AUTOLIB AND LIBSYS
This topic was presented at a "Workshop On Best Practices in Library: Digital Library" Organised by Rabindra Library, Assam University, Silchar on November 29, 2013
Metrics envelop number of subject domains, e.g., general relativity under physics, networking, mathematics, software analysis, etc. --- STATISTICS
Enumerated in the slides are the different metric fields in information science.
Library automation software, Types of software available, Pros and Cons of Commercial and Open source software, List of library automation software.KOHA, WINISIS, NEWGENLIB, SOUL, AUTOLIB AND LIBSYS
This topic was presented at a "Workshop On Best Practices in Library: Digital Library" Organised by Rabindra Library, Assam University, Silchar on November 29, 2013
Metrics envelop number of subject domains, e.g., general relativity under physics, networking, mathematics, software analysis, etc. --- STATISTICS
Enumerated in the slides are the different metric fields in information science.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
`A Survey on approaches of Web Mining in Varied Areasinventionjournals
There has been lot of research in recent years for efficient web searching. Several papers have proposed algorithm for user feedback sessions, to evaluate the performance of inferring user search goals. When the information is retrieved, user clicks on a particular URL. Based on the click rate, ranking will be done automatically, clustering the feedback sessions. Web search engines have made enormous contributions to the web and society. They make finding information on the web quick and easy. However, they are far from optimal. A major deficiency of generic search engines is that they follow the ‘‘one size fits all’’ model and are not adaptable to individual users.
Web Mining Based Framework for Ontology Learningcsandit
Today, the notion of Semantic Web has emerged as a prominent solution to the problem oforganizing the immense information provided by World Wide Web, and its focus on supporting
a better co-operation between humans and machines is noteworthy. Ontology forms the major
component of Semantic Web in its realization. However, manual method of ontology
construction is time-consuming, costly, error-prone and inflexible to change and in addition, it requires a complete participation of knowledge engineer or domain expert. To address this
issue, researchers hoped that a semi-automatic or automatic process would result in faster and
better ontology construction and enrichment. Ontology learning has become recently a major
area of research, whose goal is to facilitate construction of ontologies, which reduces the effort
in developing ontology for a new domain. However, there are few research studies that attempt
to construct ontology from semi-structured Web pages. In this paper, we present a complete
framework for ontology learning that facilitates the semi-automation of constructing and
enriching web site ontology from semi structured Web pages. The proposed framework employs
Web Content Mining and Web Usage mining in extracting conceptual relationship from Web.
The main idea behind this concept was to incorporate the web author's ideas as well as web
users’ intentions in the ontology development and its evolution.
Semantic Search of E-Learning Documents Using Ontology Based Systemijcnes
The keyword searching mechanism is traditionally used for information retrieval from Web based systems. However, this system fails to meet the requirements in Web searching of the expert knowledge base based on the popular semantic systems. Semantic search of E-learning documents based on ontology is increasingly adopted in information retrieval systems. Ontology based system simplifies the task of finding correct information on the Web by building a search system based on the meaning of keyword instead of the keyword itself. The major function of the ontology based system is the development of specification of conceptualization which enhances the connection between the information present in the Web pages with that of the background knowledge.The semantic gap existing between the keyword found in documents and those in query can be matched suitably using Ontology based system. This paper provides a detailed account of the semantic search of E-learning documents using ontology based system by making comparison between various ontology systems. Based on this comparison, this survey attempts to identify the possible directions for future research.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
2. Content
What is Webometrics
Evolution of Webometrics
Definition of Webometrics
Web Structure
Main Areas of Webometric Study
Relationship between 5 Metric Sciences
Methodology and Syntax
Example
3. What is Webometrics
Quantitative Analysis
Tracking of Website
Evaluating of Search Engine
Link Analysis ( Internal and External Link)
4. Evolution of Webometrics
A range of new terms for the emerging research field were rapidly proposed from the
mid-1990s, for example,
Netometrics (Bossy, 1995);
Webometry (Abraham, 1996);
Internetmetrics (Almind & Ingwersen, 1996);
Webometrics (Almind & Ingwersen, 1997);
Cybermetrics (Journal started by Isidro Aguillo)
Webbibliometry (Chakrabarti 2002)
5. Definition of Webometrics
The study of the quantitative aspects of the construction and
use of information resources, structures and techonologies on
the Web drawing on bibliometric and informetric approaches
is called Webometrics. (by Bjorneborn and ingwersen 2004)
The study of Web based content With Primarily quantitative
Methods For social science research goals using techniques
that are not specific to one field to study is called
Webometrics. (by Thelwall 2009)
6. Web Structure
Web page www.jiwaji.edu
Web site jiwaji – Computer Name
Home Page .edu – Domain Extension
Hyperlink IP - 143.95.238.201
Domain Name Example : .ac.in, .org, .com, .NET
7. Main Areas of Webometric Study
Web Page content analysis
Web link structure analysis
Web usage analysis
Web technology analysis
8. Relationship between 5 Metric Sciences
Informetrics : The study of quantitative aspect of information any form
Bibliometrics : The study of quantitative aspect of production, dissemination and
use of recorded information.
Cybermetrics : The study of quantitative aspect of internet as a whole.
Scientometrics : The study of quantitative aspect of science as a discipline or
economic activity.
Webometrics : The study of quantitative aspect of Web/ Web site.
9.
10. Methodology and Syntax
Selection of Website.
Selection of search engines (example AltaVista, Yahoo! , Google, etc.)
Use of Appropriate query syntax
Data collection through searching
Calculation of Web impact Factors
A=Total number of Web pages to a particular site
B=Number of external back links to a given site
C=Number of internal (self) links to a given site
D= Total number of links to a site
WIF_Simple=D/A
WIF_Revised=B/A
WIF_Selflink=C/A
11. Example
I have search some query using Google search engine.
site:www.jiwaji.edu
Result 11800 pages in jiwaji website
link:www.jiwaji.edu
Result 19 Website to link jiwaji.edu
link:www.jiwaji.edu AND site:www.jiwaji.edu
Result 196 Internal links
Google search engine use on 9-4-2016 timing 5:00 PM
